An Effective Investigation on Health Cloud Based IoT Based Virtual Health Monitoring System

An effective investigation into a Health Cloud-based IoT virtual health monitoring system has been conducted using advanced remote monitoring technology powered by the ESP8266 micro controller. The system integrates various sensors, including the ECG sensor (AD8232) for heart activity, the DS18B20 for body temperature, the MAX30100/MAX30102 pulse oximeter for heart rate and oxygen saturation, the BMP280 for respiration rate, and a pulse sensor for accurate blood pressure monitoring. With sensors directly controlled by the ESP8266 Wi-Fi/Bluetooth module, these would ensure real-time data transference to the Arduino Cloud platform. Other features are real-time monitoring, a large user base, and safe transmission and storage with advanced security protocols for the sensitive medical data. The system enables proactive health management by providing remote access to patient health metrics for healthcare providers, thus allowing for early detection of anomalies and timely medical intervention, which leads to improved patient outcomes. This investigation demonstrates the potential of integrating IoT with cloud platforms to deliver a scalable, secure, and efficient virtual health monitoring solution, enhancing healthcare accessibility and responsiveness.